CV
General Information
Full Name | Prakhar Sharma |
Languages | Hindi, English |
Area of Interest | Physics-informed machine learning, Inverse modelling, Python |
Education
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2021-24 PhD in Mechanical Engineering
Swansea University, Swansea, Wales, UK - Fully-funded by EPSRC DTP and UKAEA PhD Scholarship.
- Awarded with NVIDIA Academic Hardware Grant.
- Thesis: The digital twin of fusion energy components.
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2019-21 MSc in Computational Mechanics
Swansea University, Swansea, Wales, UK - Fully-funded by Erasmus Mundus scholarship and CIMNE.
- Thesis: Data-driven discovery of Navier-Stokes equation in fluid dynamics.
- Grade: 81.95% (Distinction)
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2015-19 B.Tech in Civil Engineering
Dr. A.P.J. Abdul Kalam Technical University, Lucknow, India - Partially funded through Ashoka merit studentship.
- Awarded with highly competitive AKTU-University topper merit scholarship.
- Thesis: Development of Finite Element Analysis Tool for Skeletal Structures.
- Grade: 84.88% (Distinction with Gold medal)
Experience
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Nov 2024 - Present Data Scientist
Culham Centre for Fusion Energy, UKAEA - Developing machine learning models for fusion energy components.
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Sep 2021 - May 2024 Teaching Assistant
Faculty of Science and Engineering, Swansea University - Responsible for conducting labs, grading the exam sheets and helping students assignments.
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Jun - Aug 2021 Research Intern
ASTUTE Wales, Swansea University - Feasibility study into using ALM for the production of Hydrogen car components.
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Jun - Jul 2018 Summer intern
Indian Institute of Technology, Varanasi, India. - Analysis of Structural Elements and Plate Using Finite Element Method.
Technical Skills
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Simulation tools
- ANSYS Mechanical and Fluent
- SolidWorks
- FEniCSx
- STAAD. Pro
- MATLAB PDE Toolbox
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Programming languages
- Python
- Bash scripting
- MATLAB
- C++
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Machine Learning
- PyTorch
- Hydra/ Hydra-zen
- MLflow
- Weights & Biases (W&B)
- SLURM job scheduler
- NVIDIA Modulus
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Documentation
- LaTeX/ LyX
- Markdown
- Sphinx, JupyterBook
- Jekyll
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Others
- Linux ricing
- Git, SSH/ SFTP
- Docker/ Apptainer image development